000			02961nam a22004455i 4500
001			978-3-642-13812-6
003			DE-He213
005			20140220084540.0
007			cr nn 008mamaa
008			100710s2010 gw | s |||| 0|eng d
020			_a9783642138126 _9978-3-642-13812-6
024	7		_a10.1007/978-3-642-13812-6 _2doi
050		4	_aTJ212-225
072		7	_aTJFM _2bicssc
072		7	_aTEC004000 _2bisacsh
082	0	4	_a629.8 _223
100	1		_aTóth, Roland. _eauthor.
245	1	0	_aModeling and Identification of Linear Parameter-Varying Systems _h[electronic resource] / _cby Roland Tóth.
264		1	_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2010.
300			_a325p. 21 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aLecture Notes in Control and Information Sciences, _x0170-8643 ; _v403
505	0		_aLTI System Identification and the Role of OBFs -- LPV Systems and Representations -- LPV Equivalence Transformations -- LPV Series-Expansion Representations -- Discretization of LPV Systems -- LPV Modeling of Physical Systems -- Optimal Selection of OBFs -- LPV Identification via OBFs.
520			_aThis book aims to bridge the gap between Linear Parameter-Varying (LPV) modeling and control by investigating fundamental questions of modeling and identification. It explores missing details of LPV system theory that have hindered the formulation of a well established identification framework. By proposing a unified LPV system theory, based on a behavioral approach, the concepts of representations, equivalence transformations and means to compare model structures are re-established, giving a solid basis for an identification theory. It is also explored when and how first-principle nonlinear models can be efficiently converted to LPV descriptions detailing possible pitfalls. Building on well-founded system theoretical concepts, the classical LTI prediction-error framework is extended to the LPV case via the use of series-expansion representations. The book is written as a research monograph with a broad scope, trying to cover the key issues from system theory to modeling and identification. It is meant to be interesting for both researchers and engineers but also for graduate students in systems and control who would like to learn about the LPV framework.
650		0	_aEngineering.
650		0	_aSystems theory.
650	1	4	_aEngineering.
650	2	4	_aControl.
650	2	4	_aSystems Theory, Control.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783642138119
830		0	_aLecture Notes in Control and Information Sciences, _x0170-8643 ; _v403
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-642-13812-6
912			_aZDB-2-ENG
999			_c112345 _d112345